Mab2rec

Latest version: v1.3.0

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1.3.0

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Major:
- Added optional `apply_sigmoid` argument to recommend() method, to
control whether sigmoid transformation is applied to scores or not.
Minor:
- Fixed bug when recommending single context.


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1.2.1

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Minor:
- Replaced NoReturn type hinting with None - thank you SaraEkmanSVT

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1.2.0

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Major:
- Removed spock-config dependency and train/test scripts using Spock
- Updated tests and documentation to reflect Python 3.8+ support

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1.1.0

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Major:
- Updated requirements to use mabwiser>=2.7 to benefit from enhancements,
including vectorized predict for Linear policies and tracking of arm status.
- Fixed tests due to changes in random seeding for Linear policies.
Minor:
- Added Diversity metrics to available MAB evaluation metrics.

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1.0.3

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Minor:
- Fixed bug with inconsistency between scored and eligible items.

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1.0.2

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Minor:
- Fixed bug with arguments not being passed correctly to load_response_data.

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